Where we focus — analytics
Turning your meters, SCADA, and GIS into loss intelligence
The water balance tells you how much you're losing. Analytics tells you where, when, and what to do first. We work with the data you already own — production meters, district inflows, smart meters, pressure loggers, work orders, and the hydraulic model.
DMA
District metering & night flow
Segment the network into District Metered Areas and analyze night-time inflow — when legitimate demand is lowest — to quantify and localize leakage zone by zone.
AMI
Smart-meter analytics
Mine AMI/AMR interval data to flag meter under-registration, profile demand, and detect anomalies that signal apparent loss and unauthorized use.
ML
Burst & failure prediction
Combine break history, pipe attributes, pressure, and environment to score mains by failure risk — shifting repairs from reactive to planned.
P
Pressure-management analytics
Use FAVAD / N1 leakage-pressure relationships to model how PRV zoning and modulation cut leak flow rates and new break frequency.
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Acoustic & sensor fusion
Integrate acoustic loggers, correlators, and satellite leak-detection passes into a single ranked survey plan — not a blind network-wide walk.
✓
Audit data validation
Raise your AWWA data-validity score by tracing each input to source, reconciling SCADA against billing, and documenting the grading.
Capabilities in depth
+District metered areas & minimum night flowLocalize leakage
By isolating zones with metered inflow and analyzing the minimum night flow (typically 2–4 a.m., when legitimate use bottoms out), the residual flow reveals background leakage. Step-testing and bottom-up analysis then narrow it to streets and assets — turning a system-wide percentage into a dispatch list.
+Pressure management & the FAVAD principleCut flow & bursts
Leakage flow rises with pressure (the FAVAD / N1 relationship), and so does the frequency of new breaks. Modulated pressure-reducing valves and well-designed pressure zones can therefore deliver immediate, low-capital savings while extending asset life — we model the trade-off against levels of service before recommending setpoints.
+Apparent-loss & revenue-protection analyticsRecover revenue
Meter accuracy testing, consumption-profile anomaly detection, and reconciliation between metered reads and the billing system surface under-registration, mis-sized meters, and unauthorized use. Because this water is valued at the retail tariff, recovery here often carries the strongest near-term return.
+Live network digital twinTest before you dispatch
Pairing a calibrated hydraulic model with real-time DMA and pressure data lets leakage hot-spots, model error, and intervention scenarios be tested before a crew is sent — closing the loop between measurement and action, and keeping the model honest over time.